Sentiment analysis is a growing field at the intersection of linguistics and computer science
that attempts to automatically determine the sentiment contained in text. Sentiment can be …

One effective way to improve the state of the art is through competitions. Following the
success of the Critical Assessment of protein Structure Prediction (CASP) in bioinformatics …

This paper investigates the capabilities of Large Language Models (LLMs) in the context of
understanding their knowledge and uncertainty over questions. Specifically, we focus on …

In this paper we introduce the task of fact checking, ie the assessment of the truthfulness of a
claim. The task is commonly performed manually by journalists verifying the claims made by …

The goal of argumentation mining, an evolving research field in computational linguistics, is
to design methods capable of analyzing people's argumentation. In this article, we go …

Natural language understanding depends heavily on assessing veridicality—whether
events mentioned in a text are viewed as happening or not—but little consideration is given …

Identifying the veracity, or factuality, of event mentions in text is fundamental for reasoning
about eventualities in discourse. Inferences derived from events judged as not having …

Abstract The Joint Conference on Lexical and Computational Semantics (* SEM) each year
hosts a shared task on semantic related topics. In its first edition held in 2012, the shared …

Abstract In Electronic Health Records (EHRs), much of valuable information regarding
patients' conditions is embedded in free text format. Natural language processing (NLP) …

Traditionally, most research in NLP has focused on propositional aspects of meaning. To
truly understand language, however, extra-propositional aspects are equally important …